Python Programming Fundamentals Tm
Free Download Python Programming Fundamentals Tm
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.83 GB | Duration: 4h 4m
End to End Case Study
What you'll learn
Introduction to Python
Python Libraries
Introduction to Python Programming
Data Structures and Functions in Python
Working with Libraries and Handling Files
Python Introduction to NumPy
Requirements
Anyone can learn this class it is very simple.
Description
1. Introduction to PythonOverview:This section introduces the Python programming language, its history, and its importance in the programming world.Topics Covered:What is Python?Python's History and EvolutionWhy Choose Python? (Features and Advantages)Setting Up the Python Environment (Installation of Python, IDEs, and Editors)Writing and Executing Your First Python ProgramLearning Outcomes:Understand the basics of Python and its applications.Set up Python on your computer and run simple programs.2. Python LibrariesOverview:Explore the vast ecosystem of Python libraries and how they extend the capabilities of Python.Topics Covered:Introduction to Python Libraries and ModulesStandard Library vs. Third-Party LibrariesInstalling and Managing Libraries using pipOverview of Popular Libraries: NumPy, Pandas, Matplotlib, etc.Learning Outcomes:Understand what libraries are and how to use them.Learn how to install and manage Python libraries.3. Introduction to Python ProgrammingOverview:Dive into the core syntax and programming constructs of Python.Topics Covered:Python Syntax and SemanticsVariables, Data Types (Numbers, Strings, Booleans)Operators and ExpressionsBasic Input and OutputCommenting and Writing Clean CodeLearning Outcomes:Write basic Python programs using variables and data types.Perform arithmetic operations and handle user input.4. Introduction to Python Programming (Part 2)Overview:Build on the basics by exploring control flow and loops.Topics Covered:Control Flow: Conditional Statements (if, else, elif)Loops: for and while LoopsIntroduction to Iterables and IteratorsBreak and Continue StatementsLearning Outcomes:Implement decision-making in code using conditionals.Use loops to iterate over data and perform repetitive tasks.5. Data Structures and Functions in PythonOverview:Learn about essential data structures and how to create reusable code with functions.Topics Covered:Lists, Tuples, and SetsDictionaries: Key-Value PairsDefining and Using FunctionsFunction Parameters and Return ValuesScope and Lifetime of VariablesLearning Outcomes:Store and manipulate data using lists, tuples, and dictionaries.Write functions to create modular, reusable code.6. Data Structures and Functions in Python (Part 2)Overview:Continue exploring data structures and more advanced function concepts.Topics Covered:Advanced List Operations (Slicing, List Comprehensions)Working with Nested Data StructuresAnonymous Functions (Lambda Expressions)Higher-Order Functions (map, filter, reduce)Error Handling and Exceptions in FunctionsLearning Outcomes:Perform complex operations on data structures.Handle errors gracefully and write more sophisticated functions.7. Working with Libraries and Handling FilesOverview:Learn how to work with Python libraries and manage file operations.Topics Covered:Importing and Using LibrariesFile Handling: Reading and Writing FilesWorking with CSV Files using the csv moduleIntroduction to Context ManagersBest Practices for File OperationsLearning Outcomes:Read from and write to files using Python.Use libraries to enhance Python's functionality.8. Python Introduction to NumPyOverview:Get introduced to NumPy, a powerful library for numerical computing.Topics Covered:What is NumPy and Why Use It?Creating and Manipulating ArraysBasic Array OperationsWorking with Multi-dimensional ArraysArray Indexing and SlicingBasic Mathematical Functions with NumPyLearning Outcomes:Use NumPy to work with large datasets efficiently.Perform mathematical operations on arrays and matrices.Courtesy,Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness Expert
Overview
Section 1: Introduction to Python
Lecture 1 Introduction to Python
Section 2: Python Libraries
Lecture 2 Python Libraries
Section 3: Introduction to Python Programming
Lecture 3 Introduction to Python Programming
Section 4: Introduction to Python Programming Part2
Lecture 4 Introduction to Python Programming Part2
Section 5: Data Structures and Functions in Python
Lecture 5 Data Structures and Functions in Python
Section 6: Data Structures and Functions in Python Part2
Lecture 6 Data Structures and Functions in Python Part2
Section 7: Working with Libraries and Handling Files
Lecture 7 Working with Libraries and Handling Files
Section 8: Python Introduction to Numpy
Lecture 8 Python Introduction to Numpy
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.
Homepage
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